The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 8 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Biewald: Most enterprises have not deployed LLMs into production yet
“I think that LLMs in particular, we talk to a lot of the people and we don't see a ton of people getting them into production yet. And I think it's funny, like VCs are always surprised, like when we tell them that I think that I don't know. I'm bullish on LMS,…”
Biewald estimates 99% of Global 2000 use ML for core operations
“I bet 99% of the global 2000 is using machine learning for something that they actually really care about.”
Biewald: Almost all major LLMs were trained using Weights & Biases
“I think all of the major LLMs out there, almost all were trained using weights and biases.”
Biewald: OpenAI is a W&B customer with a small number of production models
“OpenAI has been, like, a longtime customer. I mean, I consider them, like, extraordinarily sophisticated, and they have a pretty small number of models in, in production, so.”
Increasing dataset accuracy from 90% to 95% repeatedly halves error rates
“So this is my same data set that I published online, but if you take it from 90% to 95%, you actually have the error rate, and then going up to a hundred percent, you have it again, right?”